Transform Your Enterprise with a Semantic Layer

Accelerate your AI journey and Decision making

Kobai is the graph-based semantic metadata layer for business insights built on cloud data platforms.

Enterprise transformation through semantic layer and knowledge graph

Connect

all your data

Manage

and curate the data

Enable

everyone to use the data

Power up

AI insights

Revolutionize Business Operations with Semantics

Diagram of Kobai's functionality as a Semantic Layer.

Kobai provides a semantic layer on your data creating a familiar interface understandable by both humans and AI.

This new semantic layer enables enterprises to unlock the full value of their data, drive innovation, and create sustainable competitive advantages in today's rapidly evolving digital landscape.

Why semantic graph?

Drive Into Data Transformation

Kobai’s Semantic Graph Platform empowers you to better manage, organize and curate all your data and provides the best combination of innovative graph technology and intuitive user interface to make working with data simple and easy.

Enrich your data with context and meaning

Boost the usability of your data by infusing it with organizational knowledge.

Get important business insights quickly

Empower your entire organization to easily visualize and consume data, get answers and make decisions quickly.

Ensure scale and trust of your knowledge graph

Enable your domain experts to easily build their ontology and intelligent data threads with a low friction, codeless interface.

Ready your data for AL/ ML

Accelerate your advanced analytics by reducing data wrangling burden on your data scientists. Integrate with the latest AI and MLOps tools.

Intuitive

Natural language queries drive faster knowledge discovery by enabling non-technical experts to query your data platform.

All Encompassing

Integrate data from all aspects of your business, achieving a level of completeness that would strain a traditional data model.

Integrated

Experience streamlined knowledge creation without bottlenecks slowing interaction between AI workflows and our cloud-scale graph.

Reusable

Make data curation investments easier to reuse by making them visible and easily understandable. Maximize the value of data products.

Flexible

Merge data initiatives into a more valuable whole. Graph relationships future-proof your data platform with more flexibility than a RDBMS.

Semantic Powered

Get more explainable and understandable AI outcomes by augmenting your data with semantic metadata. Context is key.

Build your AI Focused Semantic Data Fabric

Case Studies

Operational Excellence

Helping energy companies with better resource planning, fewermandatory onsite visits, increasing overall productivity ofpartners and technical services teams

Supply Chain Optimization

Helping CPG (Consumer Packaged Goods) and FMCG companies with supply chain planning and execution.
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Customer 360

How Kobai's knowledge graph meant 5X more client engagement for a global engineering firm.

News

Announcement: Lee Tedstone Joins Kobai as CEO

Announcement: Lee Tedstone Joins Kobai as CEO

November 6, 2024

We are excited to announce that Lee Tedstone has joined Kobai as our new Chief Executive Officer. Lee comes to us with an impressive background in the tech industry and a strong focus on scaling businesses and delivering exceptional value to customers.

Blazing Fast Data Ingestion with Kobai Saturn on Databricks

Blazing Fast Data Ingestion with Kobai Saturn on Databricks

September 30, 2024

In today’s fast-paced data-driven world, speed and efficiency are paramount. At Kobai, we’ve taken data ingestion performance to the next level by harnessing the full power of Databricks.

Enhancing GenAI Accuracy and Sustainability In the rapidly evolving landscape of Generative AI (GenAI)

Enhancing GenAI Accuracy and Sustainability In the rapidly evolving landscape of Generative AI (GenAI)

August 12, 2024

Knowledge graphs (KGs) have emerged as a powerful tool for enhancing the capabilities of Large Language Models (LLMs) when combined with Retrieval Augmented Generation (RAG). This synergy offers significant benefits in grounding and validating LLM responses, leading to more accurate, contextually relevant, and trustworthy AI-generated content